EEG-Based Diagnosis of Alzheimer Disease

A Review and Novel Approaches for Feature Extraction and Classification Techniques

Häftad, Engelska, 2018

AvNilesh Kulkarni,Vinayak Bairagi,India) Bairagi, Vinayak (PhD Mentor in Electronics Engineering, Savitribai Phule Pune University, Pune, Maharashtra

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EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer's disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer's Disease early, presenting new and innovative results in the extraction and classification of Alzheimer's Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer's Disease.

Includes the mathematical models and rigorous analysis of various classifiers and machine learning algorithms from a perspective of clinical deployment
Covers the history of EEG signals and their measurement and recording, along with their uses in clinical diagnostics
Analyzes spectral, wavelet, complexity and other features of early and efficient Alzheimer's Disease diagnostics
Explores support vector machine-based classification to increase accuracy

Produktinformation

Utgivningsdatum2018-04-18
Mått191 x 235 x 12 mm
Vikt230 g
FormatHäftad
SpråkEngelska
Antal sidor110
FörlagElsevier Science
ISBN9780128153925

Tillhör följande kategorier

Diagnostiska metoder inom Medicin
Alzheimer, demens inom Medicin

Dr. Vinayak K. Bairagi, is a recognized PhD guide in Savitribai Phule Pune University. He is working as Professor at Department of E electronics and Telecommunication Engg. and actively working as Chairman, IEEE Signal Processing Society Pune Chapter. He has teaching experience of 14 years and research experience of 10 years. He has filed 12 patents and 5 copyrights in technical field. He has published more than 70 papers. He has received IEI national level Young Engineer Award (2014) and ISTE national level Young Researcher Award (2015) for his excellence in the field of engineering. He also has 5 books and 6 book chapters on his credits. His area of interest is Biomedical Signal Processing and Brain Imaging.

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